Topology-Informed Visual Prompting For Vision Language Action Policies
cs.RO
Submitted: 2026-09-20
Updated: 2026-09-20
Project page: https://topology-vla.github.io
Terminology
Sources
- Actions as Language: Fine-Tuning VLMs into VLAs Without Catastrophic Forgetting
- InstructVLA: Vision-Language-Action Instruction Tuning from Understanding to Manipulation
- PEEK: Guiding and Minimal Image Representations for Zero-Shot Generalization of Robot Manipulation Policies
- RT-1: Robotics Transformer for Real-World Control at Scale
- Octo: An Open-Source Generalist Robot Policy
- RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control
- OpenVLA: An Open-Source Vision-Language-Action Model
- $\pi_0$: A Vision-Language-Action Flow Model for General Robot Control
- $\pi_{0.5}$: a Vision-Language-Action Model with Open-World Generalization
- GR00T N1: An Open Foundation Model for Generalist Humanoid Robots
- MolmoAct: Action Reasoning Models that can Reason in Space
- MolmoB0T: Large-Scale Simulation Enables Zero-Shot Manipulation
- RT-Trajectory: Robotic Task Generalization via Hindsight Trajectory Sketches
- PIVOT: Iterative Visual Prompting Elicits Actionable Knowledge for VLMs
- Qwen3-VL Technical Report
- LoRA: Low-Rank Adaptation of Large Language Models
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